Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
1968
Single Precision Score
2109
Half Precision Score
1620
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | berkctezc |
| Upload Date | February 08 2025 06:44 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
100% |
678
126.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
10968
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5985
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
87% |
690
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
2025
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4492
34.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3240
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11365
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16413
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9976
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2135
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.5 IPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
516
691.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
70% |
615
11.5 IPS |
